Triple
T4820620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Oblast |
E107701
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alexandrov
Alexandrov is a historic Russian town in Vladimir Oblast, known for its former status as a royal residence and its well-preserved architectural heritage.
|
E471233
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alexandrov | Statement: [Vladimir Oblast, contains, Alexandrov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandrov Context triple: [Vladimir Oblast, contains, Alexandrov]
-
A.
Alexandrovsk
Alexandrovsk was a historical town in the Russian Empire, now known as Zaporizhzhia in southeastern Ukraine.
-
B.
Pavel Alexandrov
Pavel Alexandrov was a prominent Russian-Soviet mathematician known for his foundational contributions to topology and his role in developing the Moscow school of mathematics.
-
C.
Alexandrovich
Alexandrovich is the Russian patronymic indicating "son of Alexander," famously used in the full name of Tsar Nicholas II of Russia.
-
D.
Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
-
E.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Alexandrov Triple: [Vladimir Oblast, contains, Alexandrov]
Generated description
Alexandrov is a historic Russian town in Vladimir Oblast, known for its former status as a royal residence and its well-preserved architectural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexandrov Target entity description: Alexandrov is a historic Russian town in Vladimir Oblast, known for its former status as a royal residence and its well-preserved architectural heritage.
-
A.
Alexandrovsk
Alexandrovsk was a historical town in the Russian Empire, now known as Zaporizhzhia in southeastern Ukraine.
-
B.
Pavel Alexandrov
Pavel Alexandrov was a prominent Russian-Soviet mathematician known for his foundational contributions to topology and his role in developing the Moscow school of mathematics.
-
C.
Alexandrovich
Alexandrovich is the Russian patronymic indicating "son of Alexander," famously used in the full name of Tsar Nicholas II of Russia.
-
D.
Alekseyev
Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
-
E.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c98358081908ed43425af667a98 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dc02118819093f4dfad16c6085f |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4e38bccc81909102f922fd395568 |
completed | March 21, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4ea8fa708190909e26268b49b678 |
completed | March 21, 2026, 7:54 a.m. |
Created at: March 20, 2026, 1:24 p.m.